Application of fractional order iterative learning controller for a type of batch bioreactor. Issue 12 (1st August 2016)

• Record Type: Journal Article
• Authors: Rezaei Estakhrouiyeh, Mohsen; Vali, Mohammadali; Gharaveisi, Aliakbar
• Is Part Of: IET control theory & applications. Volume 10:Issue 12(2016)
• Page Start: 1374
• Page End: 1383
• Publication Date: 2016-08-01
• Subjects: bioreactors -- iterative learning control -- batch processing (industrial) -- nonlinear control systems -- robust control -- three‐term control -- biocontrol -- control system synthesis; fractional order iterative learning controller design -- FOILC -- nonlinear fractional order bioreactor system -- batch bioreactor -- fed‐batch systems -- horticulture -- medical plants -- tissue engineering -- waste water recycling -- biomass production -- fractional dynamics -- robust fractional order PID -- FOPID -- product quality -- disturbance rejection; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2015.1268
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : In this study, a fractional order iterative learning controller (FOILC) is designed for a non‐linear fractional order bioreactor system. Bioreactors are widely used in horticulture, medical plants, tissue engineering, waste water recycling, biomass production and many other applications. Since fed‐batch systems are repetitive processes and some specific types have fractional dynamics, FOILC algorithm is workable for them. This research shows, via simulations, the benefits of using FOILC along with a robust fractional order PID (FOPID) to attain both robustness and precision tracking for the bio‐reactor system. This leads to better product quality and more flexibility, since the system can learn the new dynamics after a few iterations, in case of plant changes, besides getting better disturbance rejection against repetitive and non‐repetitive disturbances.